Skip to main content

Table 8 Selected Publications

From: Investigating measures for applying statistical process control in software organizations

ID Title
P01 Kumari, KS, Amulya, B, Prasad, RS (2014) Comparative study of pareto type II with HLD in assessing the software reliability with order statistics approach using SPC. International Conference on Circuits, Power and Computing Technologies (ICCPCT), p 1630–1636.
P02 Alhassan, MA, Jawawi, DNA (2014) Sequential strategy for software process measurement that uses Statistical Process Control. In: 8th Malaysian Software Engineering Conference (MySEC), p 37–42.
P03 Vashisht, V (2014) Enhancing Software Process Management through Control Charts. Journal of Software Engineering and Applications, Feb, p 87–93.
P04 Fernandez-Corrales, C, Jenkins, M, Villegas, J (2013) Application of Statistical Process Control to Software Defect Metrics: An Industry Experience Report. ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, p 323–33.
P05 Abubakar, AM, Jawawi, DNA (2013) A Study on Code Peer Review Process Monitoring using Statistical Process Control. Software Engineering Postgraduates Workshop (SEPoW), p 136–141.
P06 Pandian, SSA, Puthiyanayagam, P (2013) Control Charts for Improving the Process Performance of Software Development Life Cycle. Ijrras, vol. 14, no. February, p 248–256.
P07 Tarhan, A, Demirors, O (2012) Apply quantitative management now. IEEE Software, v. 29, n. 3, p 77–85.
P08 Tarhan, A, Demirors, O (2011) Assessment of software process and metrics to support quantitative understanding: Experience from an undefined task management process. Communications in Computer and Information Science (CCIS0), v. 155, p 108–120.
P09 Tarhan, A, Demirors, O (2011) Investigating the effect of variations in the test development process: A case from a safety-critical system. Software Quality Journal, v. 19, n. 4, p 615–642.
P10 Schneidewind, N (2011) What can Software Engineers Learn from Manufacturing to Improve Software Process and Product? Intelligent Information Management, 01, p 98–107. https://doi.org/10.4236/iim.2009.12015
P11 Vijaya, G, Arumugam, S (2010) Monitoring the stability of the processes in defined level software companies using control charts with three sigma limits. WSEAS Trans. Info. Sci. and App., 7(10), p 1200–1209. Retrieved from http://portal.acm.org/citation.cfm?id=1865374.1865383
P12 Zhang, H, Kim, S (2010) Monitoring software quality evolution for defects. IEEE Software, 27, 58–64. https://doi.org/10.1109/MS.2010.66
P13 Selby, RW (2009) Statistical Process Control for System Development Using Six Sigma Techniques. AIAA SPACE Conference & Exposition, Sept.
P14 Zhao, F, Peng, X, Zhao, W (2009) Software development process monitoring based on nominal transformation. Eighth IEEE/ACIS International Conference on Computer and Information Science, p 983–988.
P15 Zhu, M, Liu, W, Hu, W, Fang, Z (2009) Target Based Software Process Evaluation Model and Application. Second International Conference on Information and Computing Science (ICIC), v. 1, p 107–110.
P16 Gou, L, Wang, Q, Yuan, J, et al. (2009) Quantitative defects management in iterative development with BiDefect. Software Process: Improvement and Practice - Addressing Management Issues, v. 14, n. 4, p 227–241.
P17 Tarhan, A, Demirors, O (2008) Assessment of Software Process and Metrics to Support Quantitative Understanding. IWSM-Mensura, p 102–113
P18 Weller, EF, Card, D (2008) Applying SPC to Software Development: Where and Why. IEEE Software, v. 25, p 48–50.
P19 Wang, Q, Gou, L, Jiang, N, et al. (2008) Estimating fixing effort and schedule based on defect injection distribution. Software Process Improvement and Practice, v. 11, p 361–371.
P20 Chang, C-P, Chu, C-P (2008) Improvement of causal analysis using multivariate statistical process control. Software Quality Journal, v. 16, n. 3, p 377–409.
P21 Card, DN, Domzalski, K, Davies, G (2008) Making Statistics Part of Decision Making in an Engineering Organization. IEEE Software, v. 25, n. 3, p 37–47.
P22 Baldassarre, MT, Caivano, D, Visaggio, G (2006) Non invasive monitoring of a distributed maintenance process. Conference Record - IEEE Instrumentation and Measurement Technology Conference, no. April, p 1098–1103.
P23 Wang, Q, Jiang, N, Gou, L, et al. (2006) BSR: A statistic-based approach for establishing and refining software process performance baseline. Proceedings of the 28th international conference on Software engineering, p. 585–594.
P24 Komuro, M (2006) Experiences of applying SPC techniques to software development processes. In: 28th international conference on Software engineering - ICSE, p 577.
P25 Tarhan, A, Demirors, O (2006) Investigating suitability of software process and metrics for statistical process control. Software Process Improvement, vol. 4257, p 88–99.
P26 Zhang, Y, Sheth, D (2006) Mining software repositories for model-driven development. IEEE Software, v. 23, n. 1, p 82–90
P27 Boffoli, N (2006) Non-intrusive monitoring of software quality. Proceedings of the European Conference on Software Maintenance and Reengineering, p 319–322.
P28 Sargut, KU, Demirörs, O (2006) Utilization of statistical process control (SPC) in emergent software organizations: Pitfalls and suggestions. Software Quality Journal, vol. 14, no. 2, p 135–15.
P29 Wang, Q, Jiang, N, Gou, L, Che, M, Zhang, R (2006) Practical experiences of cost/schedule measure through earned value management and statistical process control. Software Process Change, p 348–354.
P30 Wang, Q, Li, M (2005) Measuring and improving software process in China. International Symposium on Empirical Software Engineering, p 177–186.
P31 Baldassarre, MT, Boffoli, N, Caivano, D, Visaggio, G (2005) Improving dynamic calibration through statistical process control. 21st IEEE International Conference on Software Maintenance (ICSM’05), p 273–282.
P32 Narayana, V, Swamy, R (2003) Experiences in the inspection process characterization techniques. In: International Conference on Quality Software, n. Jan, p 388–395.
P33 Eickelmann, N, Anant, A (2003) Statistical process control: What You Don’t Measure Can Hurt You! IEEE Software, vol. 20, no. 2, p 49–51.
P34 Jacob, AL, Pillai, SK (2003) Statistical process control to improve coding and code review. IEEE Software, v. 20, n. 3, p 50–55.
P35 Sargut, KU; Demirörs, O (2003) Utilization of Defect Density Metric for SPC Analysis. In: 13th International Conference on Software Quality, no. Cmm.
P36 Bertolino, A, Marchetti, E, Mirandola, R, Lombardi, G and Peciola, E (2002) Experience of applying statistical control techniques to the function test phase of a large telecommunications system. IEEE Software, v. 149, n. 4, p 349–357.
P37 Jalote, P, Saxena, A (2002) Optimum control limits for employing statistical process control in software process. IEEE Transactions on Software Engineering, vol. 28, no. 12, p 1126–1134, 2002.
P38 Florence, A (2001) CMM Level 4 Quantitative Analysis and Defect Prevention. Crosstalk, Feb, p. 20–21.
P39 Mohapatra, S, Mohanty, B (2001) Defect Prevention through Defect Prediction: A Case Study at Infosys. Proceedings. IEEE International Conference on Software Maintenance, p 260–272.
P40 Weller, EF (2000) Practical applications of statistical process control. IEEE Software, v. 17, n. 3, p 48–55.
P41 Florac, WA, Carleton, AD, Barnard, JR (2000) Statistical Process Control: Analyzing a Space Shuttle Onboard Software Process. IEEE Software, vol. 17, no. 4, p 97–106.
P42 Paulk, M (2000) Applying SPC to the personal software process. 10th Intl. Conf. Software Quality, p 77–87.
P43 Jalote, P, Dinesh, K, Raghavan, S, Bhashyam, MR, Ramakrishnan, M (2000) Quantitative Quality Management through Defect Prediction and Statistical Process Control. Proceedings of Second World Quality Congress for Software.
P44 Keeni, G (2000) The Evolution of Quality Processes at Tata Consultancy Services. IEEE Software, v. 17, n. 4, p 79–88.
P45 Hong, GY, Xie, M, Shanmugan, P (1999) A statistical method for controlling software defect detection process. Computers & Industrial Engineering, vol. 37, p 137–140.
P46 Lewis, NDC (1999) Assessing the evidence from the use of SPC in monitoring, predicting & improving software quality. 24th International conference on computers and industrial engineering, vol. 37, no. 1–2, p 157–160.
P47 Hayes, W (1998) Using a Personal Software Process(SM) to improve performance. Proceedings Fifth International Software Metrics Symposium, p 61–71.
P48 French, VA (1995) Applying software engineering and process improvement to legacy defense system maintenance: An experience report. International Conference on Software Maintenance, p 337–343.
P49 Card, D (1994) Statistical Process Control for Software? IEEE Software, v. 11, n. 3, p 95–97.
P50 Card, DN, Berg, RA (1989) An industrial engineering approach to software development. Journal of Systems and Software, v. 10, n. 3, p 159–168.